Snowflake Developer

As a skilled Snowflake Data Engineer, your role will involve designing, building, and optimizing data pipelines, ETL workflows, and Snowflake data environments. You will need deep expertise in SQL/PLSQL, cloud platforms, Snowflake features, and data ingestion frameworks. Key Responsibilities: - Designing, developing, and managing end-to-end data pipelines on Snowflake - Implementing data ingestion processes using formats such as CSV, JSON, Parquet, and Avro - Writing advanced SQL, PL/SQL, SnowSQL, and stored procedures for data transformation - Performing Snowflake staging (internal/external) and implementing efficient loading strategies - Optimizing Snowflake performance through query tuning and data model improvements - Troubleshooting failures, root-cause analysis, and resolving technical issues across ETL workflows - Developing ETL routines using Python, Scala, PySpark, or ETL tools - Collaborating with cloud teams to manage AWS/Azure/GCP environments supporting Snowflake workflows - Evaluating and improving existing staging, source, and reporting data structures - Ensuring high data quality, reliability, and governance across all data assets - Implementing dbt models and managing transformations within the data pipeline - Creating documentation for data flows, transformation logic, and Snowflake architecture - Working with cross-functional teams including data analysts, BI developers, and cloud engineers - Ensuring best practices in data security, orchestration, and cloud integration Required Skillsets: - Strong hands-on experience with Snowflake Data Cloud - Expertise in SQL, advanced PL/SQL, and Oracle database programming - Experience with SnowSQL, stored procedures, and Snowflake-specific features - Knowledge of internal and external Snowflake staging and data loading options - Proficiency in data ingestion from multiple file formats (CSV, JSON, Parquet, Avro, etc.) - Strong understanding of ETL development using Python, Scala, or PySpark - Experience with AWS, Azure, or GCP cloud platforms - Knowledge of dbt for data transformation and modeling - Experience in SQL performance tuning and root-cause analysis - Familiarity with modern data architectures and data modeling concepts - Strong problem-solving skills and the ability to troubleshoot complex pipelines - Experience evaluating and improving existing data structures - Good communication, documentation, and teamwork abilities Qualifications: - Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent - 4 - 7 years of experience in data engineering roles - Minimum 2 years hands-on experience with Snowflake - Strong hands-on experience with PL/SQL and SQL development - Experience working with cloud environments such as AWS, Azure, or GCP,